CANADIAN ATTITUDES TOWARD SOCIAL PROGRAMS:
CANADIAN ATTITUDES TOWARD SOCIAL PROGRAMS:
A Bi-variate Research Report
for Pol 242y
Abstract
Social programs encompass a vast array of government efforts at assistance, designed to reduce some of the ills in contemporary society. A number of variables have been discovered influence Canadian attitudes toward these programs. They include a belief in equality, political partisanship, and levels of prejudice toward racial and sexual minorities. Less important are demographic factors such as education, employment status, single parenthood and region of residence.
Literature review
Social are created to benefit those who are the social and economic disadvantage. As such, welfare, unemployment insurance, pensions, old-age security, and healthcare programs all contribute to the reduction of hardships encountered in a market economy.
Two previous studies were identified as important background research on attitudes toward social programs. The first was by Richard Coughlin (1980). This study looks at the impact of various variables on attitudes toward social programs in several European countries. The core of Coughlin’s study is a series of interviews in France, Great Britain, West Germany, and Denmark. His independent variables were: level of education; total family income; main occupation of head of household; and political party affiliation.
In this study, each independent variable was cross-tabulated with the same dependent variable as measured by the same two indicators of attitudes toward social programs. The first was a question asking for agreement with the statement "we should reduce taxes even if services are cut." The second question asked for agreement with the statement "we should improve programs even if taxes are raised."
With respect education, Coughlin discovered that” higher levels of education tend to be associated with support for continued expansion of social programs..." (p138). Regarding income levels, he discovered that higher income tended to be associated with opposition to expansion of social programs. In investigating the effects of employment, Coughlin found that in comparison with those who were self-employed, those who were wage earners were more likely to favor improvements in social programs even if taxes were raised. Coughlin also found that a larger percentage of those affiliated with right-of-center political parties tended to agree to the reduction of taxes even if it meant services were cut. On the other hand, those with the left-of-center party affiliation tended to disagree.
The next article, "Support for Social Welfare in Canada and the United States" by Ernie Lightman (1991), is a descriptive study of the support for social welfare in Canada and United States. Using various surveys, Lightman is able to show the differences in support for the welfare state in Canada and United States are quite substantial. However, "compared to much of Western Europe, Canada and United States are basically similar..." (p12). Essentially, his study contains two contributions relevant for my work.
Firstly, Lightman notes that regional residence may have an impact on support for the social welfare system. Secondly, Lightman also notes that single parenthood may have an impact on the use of social assistance. Although no data were presented, these two hypotheses are worthy of empirical investigation.
Hypotheses
H1: Those of left-of-center partisanship (x1) will show greater support for social programs.
H2: Those with higher education (x2) will show greater support for social programs.
H3: Those who are unemployed (x3) will show greater support for social programs.
H4: Wage earners (x4) will show greater support for social programs than the self-employed.
H5: Single parents (x5) will show greater support for social programs.
H6: Living in a region where dependence upon seasonal employment is high (x6) will increase support for social programs.
H7: A belief in equality (x7) will increase support for social programs.
H8: As income (x8) rises support for social programs will decrease.
H9: Those who show strong support for outgroups (x9) will be more likely support social programs.
My aim is to produce not merely a descriptive study but rather to explain variation in attitudes toward social programs. For my work, I have selected questions from the 1993 Canadian national election study to represent the variables in my hypotheses.
No one question can adequately reflect attitudes toward social programs since they range from welfare to education and pensions to unemployment insurance. Hence I have created an index consisting of six questions. The reliability analysis was performed to assess the adequacy of the index. A Cronbach’s alpha score of 0.61 was achieved. For the purposes of crosstabs, the index was recoded into four equally frequent categories.
Findings
Social programs entail government intervention into the market economy directed at relieving some of the ills of capitalist society. Such activity is more consistent with the social outlook of left-of-center political parties than with that of right-of-center parties. Supporters of the NDP and BQ were coded as left-of-center whereas Conservative and Reform Party supporters were coded as right-of-center. Liberals were coded as center. All others were recoded as missing data. The cross-tabulated results regarding H1 are as follows:
Support for Social Programs by Partisanship
Partisanship
Left Centre Right
|13% |12% |41% |
|26 |34 |35 |
|29 |31 |18 |
|32 |23 | 6 |
|(143) |(326) |(314) |
Low
Support Med-Low
For Social Med-High
Programs High
N=783
Tau-c = -.34; p = .000
These results clearly support the hypothesis. Over 50% of those of left-of-center partisanship support maintenance of social programs. Less than 25% of those on the right-of- center evidence similar support. The Tau-c value indicates a moderately strong inverse relationship. The p-value shows that these results are not likely due to chance.
In considering the impact of education, I presume that theoretical knowledge provided by universities will lead to increase support for social programs. The cross tabulation was performed and results did not support my hypothesis since the relationship discovered was very weak and nonlinear (Tau-c = -.03). H2 was therefore not supported.
Those who are not employed are on more likely favor government assistance. The cross-tab results support H3.
Support for Social Programs by Employment Status
Employment Status
Empl’d Unempl’d
|25% |18% |
|37 |27 |
|24 |34 |
|15 |21 |
|(776) |(393) |
Low
Support Med-Low
For Social Med-High
Programs High
N=1169
Cramer’s V = .14; p = .000
Over 50% of those who are unemployed support social programs, whereas just under 40% of the employed do so. The relationship, however, is fairly modest. Based on Coughlin’s work, I next considered the effect of type of employment one has on support for social programs. On his analysis job security is always a concern for wage earners, leading to increased support for social programs. The self-employed may have less cause for worry in this regard. Cross tabulation with CNES data did not support this hypothesis. The association was weak (Cramer's V = 0.06) and insignificant (P. = 0.23).
Social programs are geared toward promoting equality by assisting those who are disadvantaged. Hence, my hypothesis (H7) is that the stronger once belief in equality, the greater his or her support will be for the maintenance of social programs. The cross tabulation results clearly support this understanding. As one’s belief in equality increases, so does one’s support for social programs.
Support for Social Programs by Belief in Equality
Belief in Equality
V Low Low Med. Hi V. Hi
|45% |25% |18% |14% |12 |
|38 |33 |40 |28 |29 |
|11 |28 |27 |35 |33 |
| 6 |15 | 15 |24 |26 |
|(229) |(199) |(239) |(235) |(247) |
Low
Support Med-Low
For Social Med-High
Programs High
N=1149
Tau-c = .27; p = .000
When attempting to sustain a single household, single parents have limited options. Either they can work and pay for day care to look after their children, or they can collect welfare and look after their children themselves. Factoring in the cost of childcare, the income produced by the first option may not suffice for subsistence. The second option is therefore often attractive. As such, support for social programs should be greater among single parents that among other Canadians.
Support for Social Programs by Parenting Status
Parenting Status
Single Other
| 7% |24% |
|34 |34 |
|30 |27 |
|30 |16 |
|(96) |(1074) |
Low
Support Med-Low
For Social Med-High
Programs High
N=1173
Cramer’s V = .13; p = .000
The results indicate only a modest relationship. Part of the reason for this may be due to the inadequacy of the data. My concern was with single parents whose children need continuous support and looking after. However, the data do not permit me to distinguish those who have children under 10 years of age, the minimum for legally leaving children on their own. Moreover, I cannot discern whether the single parents can rely upon family and friends in caring for children.
I next considered the impact of region on support for social programs. I anticipate that support for social programs will be greatest in those areas of Canada that most rely on seasonal employment. I have particularly in mind Atlanta Canada where the nature of the fishery may create only seasonal work.
Support for Social Programs by Region
Region
Atl Queb Ont. Prairie BC
| 8% |19% |24% |27% |24 |
|26 |35 |34 |33 |38 |
|41 |27 |27 |23 |27 |
|25 |20 | 15 |18 |12 |
|(106) |(216) |(485) |(218) |(148) |
Low
Support Med-Low
For Social Med-High
Programs High
N=1173
Cramer’s V = .09; p = .001
The results support my hypothesis. Although the crosstab indicates a weak relationship, careful examination of the percentage distribution yields interesting results. In Atlantic Canada, 66% indicated support for social programs. No other region comes close. At best 47% of Quebecers show similar support, while support decreases in the western provinces, perhaps related to the emergence of the Reform Party in these regions.
Coughlin found a curvilinear relationship between income level and support for social programs. Those on the lowest and highest ends of the income distribution appeared to favor social programs more than those in the middle. I found this perplexing. It occurred to me that federal income tax rates may affect this relationship, so I recoded income into categories reflecting federal income tax rates. The resulting cross-tabulation still produced a very weak overall relation (tau-c = -0.08) but the results seemed more credible in that the lowest income group showed the greatest support for social programs. And support remained relatively constant for middle and high income groups.
Finally I considered the impact of one's attitude towards out groups on support for social programs. To do so I constructed an index reflecting support for racial and sexual minorities. I anticipate the greater support for outgroups should lead to greater support for social programs.
Support for Social Programs by Support for Outgroups
Support for Outgroups
V Low Low Med. Hi V. Hi
|37% |27% |25% |17% |11 |
|33 |40 |32 |40 |26 |
|24 |21 |28 |29 |29 |
| 6 |12 |15 |14 |34 |
|(213) |(211) |(485) |(189) |(203) |
Low
Support Med-Low
For Social Med-High
Programs High
N=936
Tau-c = .24; p = .000
The results clearly support this hypothesis. As support for out groups increases, so does support for social programs. Our social programs are rooted in an effort to decrease the negative effects of discrimination. So the more supportive one is of out groups, the more support we find for social programs.
Conclusion
The implications of my research are twofold. First, I have shown where support for social programs lies. In this respect I hope to have shown advocates for social programs where they might most effectively concentrate their efforts to build public support. Secondly I have shown that support for social programs involves a certain complexity, involving both demographic and ideological factors. In this regard, my work builds upon and extends that of Coughlin and Lightman. Of particular interest I have found ideological factors to be more important than demographics in explaining support for social programs.
Two limitations of my work stand out. A first limitation is that I have not examined the relationships between the demographic and ideological factors. I hope to pursue this in my multivariate analysis in the second term. A second limitation is that my work is reflective of only one particular time and place. Extending it to other times and places, I must leave to others.
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